Plotting and testing of skewed-densities
To test whether a dataset follows a skew distribution, you can visualize the scatterplot and contour plot to look for non-ellipsoidal contours. You can also test whether the data follow multivariate normality.
In this exercise, you will use the skew-normal sample generated in the previous exercise and a new set of skew-\(t\) samples, generated using the same location and scale parameters, to test multivariate normality.
This exercise is part of the course
Multivariate Probability Distributions in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Contour plot for skew-normal sample
___(___, aes(x = x, y = y)) + geom_point() + geom_density_2d()